Real-time Audio-Visual Interaction Evaluation
LongCat-Flash-Omni 1.37 Trained conversationalists hold three minute live video calls with a model. Real users rate each session for naturalness and fluency on a 0 to 3 scale.
In-house Meituan evaluation. The tasks are not public. Experts also report the share of good cases on six factors such as real-timeness and memory.
- Made by
- Meituan LongCat Team
- Released
- October 2025
- Kind
- Speech recognition and translation
- Level
- Everyday
- Scored
- Graded by people
- Answers
- Open-ended
- Tasks
- Kept private
- Last in a system card
- October 2025
- Last model added
- October 2025
LongCat-Flash-Omni leads with 1.37
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Source: Labs’ model cards
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | LongCat-Flash-Omni | 1.37 | Oct 2025 | Lab model card |
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Labs’ model cards
Labs report it only in system cards
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark. Some system cards do, below.
One system card reports it
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Oct 31, 2025 | LongCat-Flash-Omni technical report | 1.37 | Real-time audio-visual interaction, naturalness and fluency score 0 to 3, 95% CI 1.30 to 1.44 (Table 15). Good cases: real-timeness 49.5, human-likeness 62.5, paralinguistic understanding 91.5, relevance 54.5, accuracy 36.0, memory 94.5 percent (Table 16) | Capabilities |
More in Audio and video
- Video-MMMU In use 300 expert-level lecture videos with questions testing perception, comprehension and adaptation of knowledge. Accuracy.
Qwen 3.8 Max 88.7% - LVBench In use Hours-long video understanding with multiple-choice questions on reasoning, grounding and summarization.
Gemini 4 Argon 91.7% - MMVU In use 3,000 expert-annotated questions on videos across 27 disciplines. Multiple-choice and open-ended accuracy. Qwen 3.8 Max 82.4%
- MLVU In use Multi-task long video understanding (minutes to hours) with multiple-choice and generation tasks. Accuracy. Qwen 3.8 Max 90.8%
- FLEURS In use Models transcribe read speech in 102 languages built from FLoRes-101 sentences. Model cards usually report word error rate, so lower scores are better.
Phi-4-multimodal 4.00% - VoiceBench In use Spoken instructions with speaker, environment and content variation. Voice assistant responses scored by GPT judge or rules. Qwen3.5-Omni-Plus 93.1%